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CREATE TABLE jobs (JOB_ID VARCHAR, JOB_TITLE VARCHAR, MIN_SALARY DECIMAL, MAX_SALARY DECIMAL)
CREATE TABLE departments (DEPARTMENT_ID DECIMAL, DEPARTMENT_NAME VARCHAR, MANAGER_ID DECIMAL, LOCATION_ID DECIMAL)
CREATE TABLE regions (REGION_ID DECIMAL, REGION_NAME VARCHAR)
CREATE TABLE employees (EMPLOYEE_ID DECIMAL, FIRST_NAME VARCHAR, LAST_NAME VARCHAR, EMAIL VARCHAR, PHONE_NUMBER VARCHAR, HIRE_DATE DATE, JOB_ID VARCHAR, SALARY DECIMAL, COMMISSION_PCT DECIMAL, MANAGER_ID DECIMAL, DEPARTMENT_ID DECIMAL)
CREATE TABLE countries (COUNTRY_ID VARCHAR, COUNTRY_NAME VARCHAR, REGION_ID DECIMAL)
CREATE TABLE locations (LOCATION_ID DECIMAL, STREET_ADDRESS VARCHAR, POSTAL_CODE VARCHAR, CITY VARCHAR, STATE_PROVINCE VARCHAR, COUNTRY_ID VARCHAR)
CREATE TABLE job_history (EMPLOYEE_ID DECIMAL, START_DATE DATE, END_DATE DATE, JOB_ID VARCHAR, DEPARTMENT_ID DECIMAL)
| For those employees who did not have any job in the past, return a bar chart about the distribution of hire_date and the average of department_id bin hire_date by time. | SELECT HIRE_DATE, AVG(DEPARTMENT_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) | SELECT "HIRE_DATE", AVG("DEPARTMENT_ID") FROM "employees" WHERE NOT "EMPLOYEE_ID" IN (SELECT "EMPLOYEE_ID" FROM "job_history") | 0.123047 |
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
| show me the flights from PHILADELPHIA to ATLANTA GEORGIA | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight, state WHERE CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PHILADELPHIA' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'ATLANTA' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code AND state.state_code = CITY_1.state_code AND state.state_name = 'GEORGIA' | SELECT DISTINCT "flight"."flight_id" FROM "airport_service" AS "AIRPORT_SERVICE_0" JOIN "city" AS "CITY_0" ON "AIRPORT_SERVICE_0"."city_code" = "CITY_0"."city_code" AND "CITY_0"."city_name" = 'PHILADELPHIA' JOIN "flight" ON "AIRPORT_SERVICE_0"."airport_code" = "flight"."from_airport" JOIN "airport_service" AS "AIRPORT_SERVICE_1" ON "AIRPORT_SERVICE_1"."airport_code" = "flight"."to_airport" JOIN "city" AS "CITY_1" ON "AIRPORT_SERVICE_1"."city_code" = "CITY_1"."city_code" AND "CITY_1"."city_name" = 'ATLANTA' JOIN "state" ON "CITY_1"."state_code" = "state"."state_code" AND "state"."state_name" = 'GEORGIA' | 0.594727 |
CREATE TABLE city (city_id DECIMAL, county_id DECIMAL, name TEXT, white DECIMAL, black DECIMAL, amerindian DECIMAL, asian DECIMAL, multiracial DECIMAL, hispanic DECIMAL)
CREATE TABLE county_public_safety (county_id DECIMAL, name TEXT, population DECIMAL, police_officers DECIMAL, residents_per_officer DECIMAL, case_burden DECIMAL, crime_rate DECIMAL, police_force TEXT, location TEXT)
| What are the crime rates of counties sorted by number of offices ascending? | SELECT crime_rate FROM county_public_safety ORDER BY police_officers | SELECT "crime_rate" FROM "county_public_safety" ORDER BY "police_officers" NULLS FIRST | 0.083984 |
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
| The course listings have included POLISH 621 for how long ? | SELECT DISTINCT semester.year FROM course, course_offering, semester WHERE course.course_id = course_offering.course_id AND course.department = 'POLISH' AND course.number = 621 AND semester.semester_id = course_offering.semester ORDER BY semester.year LIMIT 1 | SELECT DISTINCT "semester"."year" FROM "course" JOIN "course_offering" ON "course"."course_id" = "course_offering"."course_id" JOIN "semester" ON "course_offering"."semester" = "semester"."semester_id" WHERE "course"."department" = 'POLISH' AND "course"."number" = 621 ORDER BY "semester"."year" NULLS FIRST LIMIT 1 | 0.307617 |
CREATE TABLE table_name_68 (released VARCHAR, series_sorted VARCHAR)
| what is the released when the series is sorted 6y/ai? | SELECT released FROM table_name_68 WHERE series_sorted = "6y/ai" | SELECT "released" FROM "table_name_68" WHERE "6y/ai" = "series_sorted" | 0.068359 |
CREATE TABLE county_public_safety (County_ID INT, Name TEXT, Population INT, Police_officers INT, Residents_per_officer INT, Case_burden INT, Crime_rate FLOAT, Police_force TEXT, Location TEXT)
CREATE TABLE city (City_ID INT, County_ID INT, Name TEXT, White FLOAT, Black FLOAT, Amerindian FLOAT, Asian FLOAT, Multiracial FLOAT, Hispanic FLOAT)
| Show the number of cities in each country with a bar chart. | SELECT T2.Name, COUNT(T2.Name) FROM city AS T1 JOIN county_public_safety AS T2 ON T1.County_ID = T2.County_ID GROUP BY T2.Name | SELECT "T2"."Name", COUNT("T2"."Name") FROM "city" AS "T1" JOIN "county_public_safety" AS "T2" ON "T1"."County_ID" = "T2"."County_ID" GROUP BY "T2"."Name" | 0.150391 |
CREATE TABLE student_tests_taken (registration_id DECIMAL, date_test_taken TIME, test_result TEXT)
CREATE TABLE subjects (subject_id DECIMAL, subject_name TEXT)
CREATE TABLE students (student_id DECIMAL, date_of_registration TIME, date_of_latest_logon TIME, login_name TEXT, password TEXT, personal_name TEXT, middle_name TEXT, family_name TEXT)
CREATE TABLE course_authors_and_tutors (author_id DECIMAL, author_tutor_atb TEXT, login_name TEXT, password TEXT, personal_name TEXT, middle_name TEXT, family_name TEXT, gender_mf TEXT, address_line_1 TEXT)
CREATE TABLE student_course_enrolment (registration_id DECIMAL, student_id DECIMAL, course_id DECIMAL, date_of_enrolment TIME, date_of_completion TIME)
CREATE TABLE courses (course_id DECIMAL, author_id DECIMAL, subject_id DECIMAL, course_name TEXT, course_description TEXT)
| List all the login names and family names of course author and tutors. | SELECT login_name, family_name FROM course_authors_and_tutors | SELECT "login_name", "family_name" FROM "course_authors_and_tutors" | 0.06543 |
CREATE TABLE table_37168 ("Club" TEXT, "Played" TEXT, "Drawn" TEXT, "Lost" TEXT, "Points for" TEXT, "Points against" TEXT, "Tries for" TEXT, "Tries against" TEXT, "Try bonus" TEXT, "Losing bonus" TEXT, "Points" TEXT)
| Which points against has 17 as the lost? | SELECT "Points against" FROM table_37168 WHERE "Lost" = '17' | SELECT "Points against" FROM "table_37168" WHERE "Lost" = '17' | 0.060547 |
CREATE TABLE table_name_53 (decision VARCHAR, record VARCHAR)
| Which Decision has a Record of 29 18 6? | SELECT decision FROM table_name_53 WHERE record = "29–18–6" | SELECT "decision" FROM "table_name_53" WHERE "29–18–6" = "record" | 0.063477 |
CREATE TABLE table_5904 ("Date" TEXT, "Time" TEXT, "Score" TEXT, "Set 1" TEXT, "Set 2" TEXT, "Set 3" TEXT, "Total" TEXT)
| Which Score has a Set 2 of 25 17, and a Time of 16:00? | SELECT "Score" FROM table_5904 WHERE "Set 2" = '25–17' AND "Time" = '16:00' | SELECT "Score" FROM "table_5904" WHERE "Set 2" = '25–17' AND "Time" = '16:00' | 0.075195 |
CREATE TABLE table_22528 ("Series #" TEXT, "Title" TEXT, "Directed by" TEXT, "Written by" TEXT, "Original air date" TEXT, "Prod. code" FLOAT)
| Name the series number that aired on november 11, 1996 | SELECT "Series #" FROM table_22528 WHERE "Original air date" = 'November 11, 1996' | SELECT "Series #" FROM "table_22528" WHERE "Original air date" = 'November 11, 1996' | 0.082031 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what number of patients admitted in urgent care had their route mentioned as ivpca? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.admission_type = "URGENT" AND prescriptions.route = "IVPCA" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "IVPCA" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "URGENT" = "demographic"."admission_type" | 0.224609 |
CREATE TABLE table_204_893 (id DECIMAL, "rank" DECIMAL, "name" TEXT, "nationality" TEXT, "time" TEXT, "notes" TEXT)
| what is the first name ranked ? | SELECT "name" FROM table_204_893 WHERE id = 1 | SELECT "name" FROM "table_204_893" WHERE "id" = 1 | 0.047852 |
CREATE TABLE table_52255 ("Race" TEXT, "Date" TEXT, "Location" TEXT, "Pole Position" TEXT, "Fastest Lap" TEXT, "Race Winner" TEXT, "Constructor" TEXT, "Report" TEXT)
| What was the pole position for jerez? | SELECT "Pole Position" FROM table_52255 WHERE "Location" = 'jerez' | SELECT "Pole Position" FROM "table_52255" WHERE "Location" = 'jerez' | 0.066406 |
CREATE TABLE table_14460937_1 (afc_cup VARCHAR, play_off VARCHAR)
| How many times has the playoff been 1 in the contest for the afc cup? | SELECT COUNT(afc_cup) FROM table_14460937_1 WHERE play_off = 1 | SELECT COUNT("afc_cup") FROM "table_14460937_1" WHERE "play_off" = 1 | 0.066406 |
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
| in 2104, what are the top four most common procedures? | SELECT d_icd_procedures.short_title FROM d_icd_procedures WHERE d_icd_procedures.icd9_code IN (SELECT t1.icd9_code FROM (SELECT procedures_icd.icd9_code, DENSE_RANK() OVER (ORDER BY COUNT(*) DESC) AS c1 FROM procedures_icd WHERE STRFTIME('%y', procedures_icd.charttime) = '2104' GROUP BY procedures_icd.icd9_code) AS t1 WHERE t1.c1 <= 4) | WITH "t1" AS (SELECT "procedures_icd"."icd9_code", DENSE_RANK() OVER (ORDER BY COUNT(*) DESC NULLS LAST) AS "c1" FROM "procedures_icd" WHERE STRFTIME('%y', "procedures_icd"."charttime") = '2104' GROUP BY "procedures_icd"."icd9_code"), "_u_0" AS (SELECT "t1"."icd9_code" FROM "t1" AS "t1" WHERE "t1"."c1" <= 4 GROUP BY "icd9_code") SELECT "d_icd_procedures"."short_title" FROM "d_icd_procedures" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "d_icd_procedures"."icd9_code" WHERE NOT "_u_0"."" IS NULL | 0.483398 |
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
| short tag names that exist both with and without a final S. | SELECT t1.Count AS "count_1", 'site://tags/' + t1.TagName + '|' + t1.TagName AS "tag_1", t2.Count AS "count_2", 'site://tags/' + t2.TagName + '|' + t2.TagName AS "tag_2" FROM Tags AS t1, Tags AS t2 WHERE t2.TagName = t1.TagName + 's' AND LENGTH(t1.TagName) <= 3 ORDER BY CASE WHEN t2.Count > t1.Count THEN t2.Count ELSE t1.Count END DESC, CASE WHEN t2.Count > t1.Count THEN t1.Count ELSE t2.Count END DESC, t1.TagName | SELECT "t1"."Count" AS "count_1", 'site://tags/' + "t1"."TagName" + '|' + "t1"."TagName" AS "tag_1", "t2"."Count" AS "count_2", 'site://tags/' + "t2"."TagName" + '|' + "t2"."TagName" AS "tag_2" FROM "Tags" AS "t1" JOIN "Tags" AS "t2" ON "t2"."TagName" = "t1"."TagName" + 's' WHERE LENGTH("t1"."TagName") <= 3 ORDER BY CASE WHEN "t1"."Count" < "t2"."Count" THEN "t2"."Count" ELSE "t1"."Count" END DESC NULLS LAST, CASE WHEN "t1"."Count" < "t2"."Count" THEN "t1"."Count" ELSE "t2"."Count" END DESC NULLS LAST, "t1"."TagName" NULLS FIRST | 0.521484 |
CREATE TABLE table_29108 ("Series #" FLOAT, "Season #" FLOAT, "Title" TEXT, "Director" TEXT, "Writer" TEXT, "Original Airdate" TEXT)
| What is the first series episode number for 'the christmas watch'? | SELECT MIN("Series #") FROM table_29108 WHERE "Title" = 'The Christmas Watch' | SELECT MIN("Series #") FROM "table_29108" WHERE "Title" = 'The Christmas Watch' | 0.077148 |
CREATE TABLE table_37350 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Time ( ET ) " TEXT, "Game site" TEXT, "Result" TEXT, "Record" TEXT)
| What opponent has a record of 6-9? | SELECT "Opponent" FROM table_37350 WHERE "Record" = '6-9' | SELECT "Opponent" FROM "table_37350" WHERE "Record" = '6-9' | 0.057617 |
CREATE TABLE table_name_25 (player VARCHAR, round VARCHAR, position VARCHAR)
| Tell me the player for round more than 5 and position of c | SELECT player FROM table_name_25 WHERE round > 5 AND position = "c" | SELECT "player" FROM "table_name_25" WHERE "c" = "position" AND "round" > 5 | 0.073242 |
CREATE TABLE table_38727 ("Res." TEXT, "Record" TEXT, "Opponent" TEXT, "Method" TEXT, "Event" TEXT, "Round" FLOAT, "Time" TEXT, "Location" TEXT)
| Which opponent has a time of 1:50? | SELECT "Opponent" FROM table_38727 WHERE "Time" = '1:50' | SELECT "Opponent" FROM "table_38727" WHERE "Time" = '1:50' | 0.056641 |
CREATE TABLE table_48337 ("Place" TEXT, "Player" TEXT, "Country" TEXT, "Score" FLOAT, "To par" TEXT)
| Which player(s) is from South Africa? | SELECT "Player" FROM table_48337 WHERE "Country" = 'south africa' | SELECT "Player" FROM "table_48337" WHERE "Country" = 'south africa' | 0.06543 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| how many patients used the drug name capso fungin? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.drug = "Caspofungin" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "Caspofungin" = "prescriptions"."drug" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.182617 |
CREATE TABLE table_24491017_1 (podiums VARCHAR, series VARCHAR)
| How many podiums when he was in the british f3 national class series? | SELECT COUNT(podiums) FROM table_24491017_1 WHERE series = "British F3 National Class" | SELECT COUNT("podiums") FROM "table_24491017_1" WHERE "British F3 National Class" = "series" | 0.089844 |
CREATE TABLE table_name_1 (year INT, bronze VARCHAR)
| What is listed as the highest Year that's also got a Bronze of Wataru Haraguchi? | SELECT MAX(year) FROM table_name_1 WHERE bronze = "wataru haraguchi" | SELECT MAX("year") FROM "table_name_1" WHERE "bronze" = "wataru haraguchi" | 0.072266 |
CREATE TABLE table_37811 ("Player" TEXT, "Touchdowns" FLOAT, "Extra points" FLOAT, "Field goals" FLOAT, "Points" FLOAT)
| How many Field goals have Points larger than 5, and Touchdowns larger than 2, and an Extra points smaller than 0? | SELECT COUNT("Field goals") FROM table_37811 WHERE "Points" > '5' AND "Touchdowns" > '2' AND "Extra points" < '0' | SELECT COUNT("Field goals") FROM "table_37811" WHERE "Extra points" < '0' AND "Points" > '5' AND "Touchdowns" > '2' | 0.112305 |
CREATE TABLE table_24547593_1 (pole_position VARCHAR, circuit VARCHAR)
| Who was in the pole position for knockhill? | SELECT pole_position FROM table_24547593_1 WHERE circuit = "Knockhill" | SELECT "pole_position" FROM "table_24547593_1" WHERE "Knockhill" = "circuit" | 0.074219 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| what is minimum age of patients whose marital status is divorced and primary disease is copd exacerbation? | SELECT MIN(demographic.age) FROM demographic WHERE demographic.marital_status = "DIVORCED" AND demographic.diagnosis = "COPD EXACERBATION" | SELECT MIN("demographic"."age") FROM "demographic" WHERE "COPD EXACERBATION" = "demographic"."diagnosis" AND "DIVORCED" = "demographic"."marital_status" | 0.148438 |
CREATE TABLE table_name_82 (notes VARCHAR, call_sign VARCHAR)
| What is the Notes of the Frequency with a call sign of CBUE-FM? | SELECT notes FROM table_name_82 WHERE call_sign = "cbue-fm" | SELECT "notes" FROM "table_name_82" WHERE "call_sign" = "cbue-fm" | 0.063477 |
CREATE TABLE table_name_92 (team_1 VARCHAR, team_2 VARCHAR)
| What is the team 1 with tikve as team 2? | SELECT team_1 FROM table_name_92 WHERE team_2 = "tikveš" | SELECT "team_1" FROM "table_name_92" WHERE "team_2" = "tikveš" | 0.060547 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| give me the number of patients whose diagnoses short title is ventricular shunt status and drug route is left eye? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Ventricular shunt status" AND prescriptions.route = "LEFT EYE" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Ventricular shunt status" = "diagnoses"."short_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" JOIN "prescriptions" ON "LEFT EYE" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" | 0.304688 |
CREATE TABLE table_train_280 ("id" INT, "fpg" FLOAT, "hemoglobin_a1c_hba1c" FLOAT, "heart_disease" BOOLEAN, "renal_disease" BOOLEAN, "hba1c" FLOAT, "body_mass_index_bmi" FLOAT, "NOUSE" FLOAT)
| subjects should have fpg in the range of 6 to 11 mmol / l at screening and hba1c less than 10 % ( hba1c value according to international dcct standard ) . | SELECT * FROM table_train_280 WHERE fpg >= 6 AND fpg <= 11 AND hemoglobin_a1c_hba1c < 10 | SELECT * FROM "table_train_280" WHERE "fpg" <= 11 AND "fpg" >= 6 AND "hemoglobin_a1c_hba1c" < 10 | 0.09375 |
CREATE TABLE table_61081 ("Tie no" TEXT, "Home team" TEXT, "Score" TEXT, "Away team" TEXT, "Date" TEXT)
| What is the Tie no when Swansea City is the Away team with a Score of 2 2? | SELECT "Tie no" FROM table_61081 WHERE "Score" = '2–2' AND "Away team" = 'swansea city' | SELECT "Tie no" FROM "table_61081" WHERE "Away team" = 'swansea city' AND "Score" = '2–2' | 0.086914 |
CREATE TABLE Invoices (Invoice_ID INT, Order_ID INT, payment_method_code CHAR, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR, Order_Item_ID INT)
CREATE TABLE Customer_Orders (Order_ID INT, Customer_ID INT, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR)
CREATE TABLE Ref_Service_Types (Service_Type_Code CHAR, Parent_Service_Type_Code CHAR, Service_Type_Description VARCHAR)
CREATE TABLE Order_Items (Order_Item_ID INT, Order_ID INT, Product_ID INT, Order_Quantity VARCHAR, Other_Item_Details VARCHAR)
CREATE TABLE Customers (Customer_ID VARCHAR, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Addresses (Address_ID VARCHAR, Line_1 VARCHAR, Line_2 VARCHAR, City_Town VARCHAR, State_County VARCHAR, Other_Details VARCHAR)
CREATE TABLE Invoice_Items (Invoice_Item_ID INT, Invoice_ID INT, Order_ID INT, Order_Item_ID INT, Product_ID INT, Order_Quantity INT, Other_Item_Details VARCHAR)
CREATE TABLE Ref_Payment_Methods (payment_method_code CHAR, payment_method_description VARCHAR)
CREATE TABLE Drama_Workshop_Groups (Workshop_Group_ID INT, Address_ID INT, Currency_Code CHAR, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Performers_in_Bookings (Order_ID INT, Performer_ID INT)
CREATE TABLE Bookings (Booking_ID INT, Customer_ID INT, Workshop_Group_ID VARCHAR, Status_Code CHAR, Store_ID INT, Order_Date DATETIME, Planned_Delivery_Date DATETIME, Actual_Delivery_Date DATETIME, Other_Order_Details VARCHAR)
CREATE TABLE Clients (Client_ID INT, Address_ID INT, Customer_Email_Address VARCHAR, Customer_Name VARCHAR, Customer_Phone VARCHAR, Other_Details VARCHAR)
CREATE TABLE Products (Product_ID VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Product_Description VARCHAR, Other_Product_Service_Details VARCHAR)
CREATE TABLE Marketing_Regions (Marketing_Region_Code CHAR, Marketing_Region_Name VARCHAR, Marketing_Region_Descriptrion VARCHAR, Other_Details VARCHAR)
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR, Workshop_Group_ID INT, Product_Description VARCHAR, Product_Name VARCHAR, Product_Price DECIMAL, Other_Product_Service_Details VARCHAR)
CREATE TABLE Bookings_Services (Order_ID INT, Product_ID INT)
CREATE TABLE Stores (Store_ID VARCHAR, Address_ID INT, Marketing_Region_Code CHAR, Store_Name VARCHAR, Store_Phone VARCHAR, Store_Email_Address VARCHAR, Other_Details VARCHAR)
CREATE TABLE Performers (Performer_ID INT, Address_ID INT, Customer_Name VARCHAR, Customer_Phone VARCHAR, Customer_Email_Address VARCHAR, Other_Details VARCHAR)
| A bar chart for giveing me the number of the descriptions of the service types that cost more than 100. | SELECT Service_Type_Description, COUNT(Service_Type_Description) FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Price > 100 GROUP BY Service_Type_Description | SELECT "Service_Type_Description", COUNT("Service_Type_Description") FROM "Ref_Service_Types" AS "T1" JOIN "Services" AS "T2" ON "T1"."Service_Type_Code" = "T2"."Service_Type_Code" AND "T2"."Product_Price" > 100 GROUP BY "Service_Type_Description" | 0.241211 |
CREATE TABLE table_name_92 (silver INT, bronze VARCHAR, gold VARCHAR, nation VARCHAR)
| How many silver medals does Belarus (blr) along with 4 gold and 4 bronze? | SELECT SUM(silver) FROM table_name_92 WHERE gold = 4 AND nation = "belarus (blr)" AND bronze > 4 | SELECT SUM("silver") FROM "table_name_92" WHERE "belarus (blr)" = "nation" AND "bronze" > 4 AND "gold" = 4 | 0.103516 |
CREATE TABLE table_204_927 (id DECIMAL, "title" TEXT, "year" DECIMAL, "artist ( s ) " TEXT, "album" TEXT, "writer ( s ) " TEXT, "producer ( s ) " TEXT)
| what was the first song that this producer helped write ? | SELECT "title" FROM table_204_927 WHERE id = 1 | SELECT "title" FROM "table_204_927" WHERE "id" = 1 | 0.048828 |
CREATE TABLE table_21637 ("Position" FLOAT, "Team" TEXT, "Played" FLOAT, "Won" FLOAT, "Drawn" FLOAT, "Lost" FLOAT, "Goals For" FLOAT, "Goals Against" FLOAT, "Goal Average 1" TEXT, "Points 2" FLOAT)
| What is the goal average 1 for teams that lost 9 games? | SELECT "Goal Average 1" FROM table_21637 WHERE "Lost" = '9' | SELECT "Goal Average 1" FROM "table_21637" WHERE "Lost" = '9' | 0.05957 |
CREATE TABLE table_26914854_3 (position_in_table VARCHAR, date_of_vacancy VARCHAR)
| What is the position in table when the date of vacancy was 4 january 2011? | SELECT position_in_table FROM table_26914854_3 WHERE date_of_vacancy = "4 January 2011" | SELECT "position_in_table" FROM "table_26914854_3" WHERE "4 January 2011" = "date_of_vacancy" | 0.09082 |
CREATE TABLE table_5067 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the sum of Game on february 28? | SELECT SUM("Game") FROM table_5067 WHERE "Date" = 'february 28' | SELECT SUM("Game") FROM "table_5067" WHERE "Date" = 'february 28' | 0.063477 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| count the number of patients less than 41 years for whom urine lab test was ordered. | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.age < "41" AND lab.fluid = "Urine" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "Urine" = "lab"."fluid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "41" > "demographic"."age" | 0.180664 |
CREATE TABLE table_name_41 (entrant VARCHAR, year INT)
| Who was the entrant before 1988? | SELECT entrant FROM table_name_41 WHERE year < 1988 | SELECT "entrant" FROM "table_name_41" WHERE "year" < 1988 | 0.055664 |
CREATE TABLE table_name_18 (player VARCHAR, pick__number VARCHAR, nationality VARCHAR, position VARCHAR)
| What which player from Canada was picked #49 and plays left wing? | SELECT player FROM table_name_18 WHERE nationality = "canada" AND position = "left wing" AND pick__number = "49" | SELECT "player" FROM "table_name_18" WHERE "49" = "pick__number" AND "canada" = "nationality" AND "left wing" = "position" | 0.119141 |
CREATE TABLE course_prerequisite (pre_course_id INT, course_id INT)
CREATE TABLE student (student_id INT, lastname VARCHAR, firstname VARCHAR, program_id INT, declare_major VARCHAR, total_credit INT, total_gpa FLOAT, entered_as VARCHAR, admit_term INT, predicted_graduation_semester INT, degree VARCHAR, minor VARCHAR, internship VARCHAR)
CREATE TABLE instructor (instructor_id INT, name VARCHAR, uniqname VARCHAR)
CREATE TABLE course_offering (offering_id INT, course_id INT, semester INT, section_number INT, start_time TIME, end_time TIME, monday VARCHAR, tuesday VARCHAR, wednesday VARCHAR, thursday VARCHAR, friday VARCHAR, saturday VARCHAR, sunday VARCHAR, has_final_project VARCHAR, has_final_exam VARCHAR, textbook VARCHAR, class_address VARCHAR, allow_audit VARCHAR)
CREATE TABLE program (program_id INT, name VARCHAR, college VARCHAR, introduction VARCHAR)
CREATE TABLE offering_instructor (offering_instructor_id INT, offering_id INT, instructor_id INT)
CREATE TABLE semester (semester_id INT, semester VARCHAR, year INT)
CREATE TABLE course_tags_count (course_id INT, clear_grading INT, pop_quiz INT, group_projects INT, inspirational INT, long_lectures INT, extra_credit INT, few_tests INT, good_feedback INT, tough_tests INT, heavy_papers INT, cares_for_students INT, heavy_assignments INT, respected INT, participation INT, heavy_reading INT, tough_grader INT, hilarious INT, would_take_again INT, good_lecture INT, no_skip INT)
CREATE TABLE course (course_id INT, name VARCHAR, department VARCHAR, number VARCHAR, credits VARCHAR, advisory_requirement VARCHAR, enforced_requirement VARCHAR, description VARCHAR, num_semesters INT, num_enrolled INT, has_discussion VARCHAR, has_lab VARCHAR, has_projects VARCHAR, has_exams VARCHAR, num_reviews INT, clarity_score INT, easiness_score INT, helpfulness_score INT)
CREATE TABLE comment_instructor (instructor_id INT, student_id INT, score INT, comment_text VARCHAR)
CREATE TABLE area (course_id INT, area VARCHAR)
CREATE TABLE student_record (student_id INT, course_id INT, semester INT, grade VARCHAR, how VARCHAR, transfer_source VARCHAR, earn_credit VARCHAR, repeat_term VARCHAR, test_id VARCHAR)
CREATE TABLE program_requirement (program_id INT, category VARCHAR, min_credit INT, additional_req VARCHAR)
CREATE TABLE program_course (program_id INT, course_id INT, workload INT, category VARCHAR)
CREATE TABLE ta (campus_job_id INT, student_id INT, location VARCHAR)
CREATE TABLE jobs (job_id INT, job_title VARCHAR, description VARCHAR, requirement VARCHAR, city VARCHAR, state VARCHAR, country VARCHAR, zip INT)
CREATE TABLE gsi (course_offering_id INT, student_id INT)
CREATE TABLE requirement (requirement_id INT, requirement VARCHAR, college VARCHAR)
| Will undergrads be able to take 525 ? | SELECT DISTINCT advisory_requirement, enforced_requirement, name FROM course WHERE department = 'EECS' AND number = 525 | SELECT DISTINCT "advisory_requirement", "enforced_requirement", "name" FROM "course" WHERE "department" = 'EECS' AND "number" = 525 | 0.12793 |
CREATE TABLE table_28279 ("Rank" FLOAT, "Dismissals" FLOAT, "Catches" FLOAT, "Stumps" FLOAT, "Player" TEXT, "Period" TEXT)
| If the player is Hashan Tillakaratne, what is the catches minimum? | SELECT MIN("Catches") FROM table_28279 WHERE "Player" = 'Hashan Tillakaratne' | SELECT MIN("Catches") FROM "table_28279" WHERE "Player" = 'Hashan Tillakaratne' | 0.077148 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| what is lab test fluid of subject id 2560? | SELECT lab.fluid FROM lab WHERE lab.subject_id = "2560" | SELECT "lab"."fluid" FROM "lab" WHERE "2560" = "lab"."subject_id" | 0.063477 |
CREATE TABLE wedding (church_id DECIMAL, male_id DECIMAL, female_id DECIMAL, year DECIMAL)
CREATE TABLE church (church_id DECIMAL, name TEXT, organized_by TEXT, open_date DECIMAL, continuation_of TEXT)
CREATE TABLE people (people_id DECIMAL, name TEXT, country TEXT, is_male TEXT, age DECIMAL)
| Show the name, open date, and organizer for all churches. | SELECT name, open_date, organized_by FROM church | SELECT "name", "open_date", "organized_by" FROM "church" | 0.054688 |
CREATE TABLE table_24496403_1 (completed VARCHAR, ship VARCHAR)
| How many ships were named Carysfort? | SELECT COUNT(completed) FROM table_24496403_1 WHERE ship = "Carysfort" | SELECT COUNT("completed") FROM "table_24496403_1" WHERE "Carysfort" = "ship" | 0.074219 |
CREATE TABLE table_5555 ("Number" FLOAT, "Builder" TEXT, "Type" TEXT, "Date" FLOAT, "Works number" FLOAT)
| Which Works number has a Number larger than 807, and a Type of 0-6-0, and a Date of 1920? | SELECT AVG("Works number") FROM table_5555 WHERE "Number" > '807' AND "Type" = '0-6-0' AND "Date" = '1920' | SELECT AVG("Works number") FROM "table_5555" WHERE "Date" = '1920' AND "Number" > '807' AND "Type" = '0-6-0' | 0.105469 |
CREATE TABLE cost (costid DECIMAL, uniquepid TEXT, patienthealthsystemstayid DECIMAL, eventtype TEXT, eventid DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE treatment (treatmentid DECIMAL, patientunitstayid DECIMAL, treatmentname TEXT, treatmenttime TIME)
CREATE TABLE intakeoutput (intakeoutputid DECIMAL, patientunitstayid DECIMAL, cellpath TEXT, celllabel TEXT, cellvaluenumeric DECIMAL, intakeoutputtime TIME)
CREATE TABLE allergy (allergyid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, allergyname TEXT, allergytime TIME)
CREATE TABLE diagnosis (diagnosisid DECIMAL, patientunitstayid DECIMAL, diagnosisname TEXT, diagnosistime TIME, icd9code TEXT)
CREATE TABLE vitalperiodic (vitalperiodicid DECIMAL, patientunitstayid DECIMAL, temperature DECIMAL, sao2 DECIMAL, heartrate DECIMAL, respiration DECIMAL, systemicsystolic DECIMAL, systemicdiastolic DECIMAL, systemicmean DECIMAL, observationtime TIME)
CREATE TABLE patient (uniquepid TEXT, patienthealthsystemstayid DECIMAL, patientunitstayid DECIMAL, gender TEXT, age TEXT, ethnicity TEXT, hospitalid DECIMAL, wardid DECIMAL, admissionheight DECIMAL, admissionweight DECIMAL, dischargeweight DECIMAL, hospitaladmittime TIME, hospitaladmitsource TEXT, unitadmittime TIME, unitdischargetime TIME, hospitaldischargetime TIME, hospitaldischargestatus TEXT)
CREATE TABLE microlab (microlabid DECIMAL, patientunitstayid DECIMAL, culturesite TEXT, organism TEXT, culturetakentime TIME)
CREATE TABLE medication (medicationid DECIMAL, patientunitstayid DECIMAL, drugname TEXT, dosage TEXT, routeadmin TEXT, drugstarttime TIME, drugstoptime TIME)
CREATE TABLE lab (labid DECIMAL, patientunitstayid DECIMAL, labname TEXT, labresult DECIMAL, labresulttime TIME)
| when did patient 010-32698 have his or her last surgical procedure? | SELECT treatment.treatmenttime FROM treatment WHERE treatment.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '010-32698')) ORDER BY treatment.treatmenttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "patient"."patienthealthsystemstayid" FROM "patient" WHERE "patient"."uniquepid" = '010-32698' GROUP BY "patienthealthsystemstayid"), "_u_1" AS (SELECT "patient"."patientunitstayid" FROM "patient" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "patient"."patienthealthsystemstayid" WHERE NOT "_u_0"."" IS NULL GROUP BY "patientunitstayid") SELECT "treatment"."treatmenttime" FROM "treatment" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "treatment"."patientunitstayid" WHERE NOT "_u_1"."" IS NULL ORDER BY "treatment"."treatmenttime" DESC NULLS LAST LIMIT 1 | 0.558594 |
CREATE TABLE table_204_712 (id DECIMAL, "rank" DECIMAL, "athlete" TEXT, "nationality" TEXT, "time" TEXT, "notes" TEXT)
| what is the number of japanese in the top 10 ? | SELECT COUNT(*) FROM table_204_712 WHERE "nationality" = 'japan' AND id <= 10 | SELECT COUNT(*) FROM "table_204_712" WHERE "id" <= 10 AND "nationality" = 'japan' | 0.079102 |
CREATE TABLE table_75351 ("Date" TEXT, "Course" TEXT, "Distance" TEXT, "Type" TEXT, "Winner" TEXT)
| What was the date with a winner of km (mi)? | SELECT "Date" FROM table_75351 WHERE "Winner" = 'km (mi)' | SELECT "Date" FROM "table_75351" WHERE "Winner" = 'km (mi)' | 0.057617 |
CREATE TABLE table_26826304_1 (original_air_date VARCHAR, production_code VARCHAR)
| What was the air date of the episode that has a production code of 5aky13? | SELECT original_air_date FROM table_26826304_1 WHERE production_code = "5AKY13" | SELECT "original_air_date" FROM "table_26826304_1" WHERE "5AKY13" = "production_code" | 0.083008 |
CREATE TABLE table_46001 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "Record" TEXT, "Streak" TEXT)
| What is the date of game 66? | SELECT "Date" FROM table_46001 WHERE "Game" = '66' | SELECT "Date" FROM "table_46001" WHERE "Game" = '66' | 0.050781 |
CREATE TABLE table_2828803_1 (us_viewers__millions_ VARCHAR, production_code VARCHAR)
| How many million u.s. viewers watched the episode with a production code of 2t7004? | SELECT us_viewers__millions_ FROM table_2828803_1 WHERE production_code = "2T7004" | SELECT "us_viewers__millions_" FROM "table_2828803_1" WHERE "2T7004" = "production_code" | 0.085938 |
CREATE TABLE table_8704 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| What is the Record for the Team of Indiana? | SELECT "Record" FROM table_8704 WHERE "Team" = 'indiana' | SELECT "Record" FROM "table_8704" WHERE "Team" = 'indiana' | 0.056641 |
CREATE TABLE table_20366 ("N\\u00b0" FLOAT, "Television service" TEXT, "Country" TEXT, "Language" TEXT, "Content" TEXT, "DAR" TEXT, "HDTV" TEXT, "Package/Option" TEXT)
| What is the content of la7 television service? | SELECT "Content" FROM table_20366 WHERE "Television service" = 'LA7' | SELECT "Content" FROM "table_20366" WHERE "Television service" = 'LA7' | 0.068359 |
CREATE TABLE table_40296 ("Year" FLOAT, "Award" TEXT, "Category" TEXT, "Nominee" TEXT, "Result" TEXT)
| What is the result for Brent Spiner? | SELECT "Result" FROM table_40296 WHERE "Nominee" = 'brent spiner' | SELECT "Result" FROM "table_40296" WHERE "Nominee" = 'brent spiner' | 0.06543 |
CREATE TABLE table_name_60 (result VARCHAR, date VARCHAR)
| What is the result of the match on 3 March 2004? | SELECT result FROM table_name_60 WHERE date = "3 march 2004" | SELECT "result" FROM "table_name_60" WHERE "3 march 2004" = "date" | 0.064453 |
CREATE TABLE table_21500 ("Game" FLOAT, "Date" TEXT, "Team" TEXT, "Score" TEXT, "High points" TEXT, "High rebounds" TEXT, "High assists" TEXT, "Location Attendance" TEXT, "Record" TEXT)
| When mike bibby (8) had the highest amount of assists what is the record? | SELECT "Record" FROM table_21500 WHERE "High assists" = 'Mike Bibby (8)' | SELECT "Record" FROM "table_21500" WHERE "High assists" = 'Mike Bibby (8)' | 0.072266 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
| count the number of patients whose primary disease is sdh and procedure icd9 code is 309? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "SDH" AND procedures.icd9_code = "309" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "309" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" WHERE "SDH" = "demographic"."diagnosis" | 0.209961 |
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
| Negatively scored answers on Stack Overflow - aggregation by last edit date. Calculates DV questions based on their last edit date *only*. | SELECT p.Score, COUNT(*) AS downvoted_all_time, SUM(CASE WHEN DATEDIFF(day, p.LastEditDate, GETDATE()) > 30 THEN 1 ELSE 0 END) AS active_last_thirty_days, SUM(CASE WHEN DATEDIFF(day, p.LastEditDate, GETDATE()) > 60 THEN 1 ELSE 0 END) AS active_last_sixty_days, SUM(CASE WHEN DATEDIFF(day, p.LastEditDate, GETDATE()) > 90 THEN 1 ELSE 0 END) AS active_last_ninety_days, SUM(CASE WHEN DATEDIFF(day, p.LastEditDate, GETDATE()) > 180 THEN 1 ELSE 0 END) AS active_last_180_days, SUM(CASE WHEN DATEDIFF(year, p.LastEditDate, GETDATE()) > 1 THEN 1 ELSE 0 END) AS active_last_year FROM Posts AS p LEFT JOIN Votes AS v ON p.Id = v.PostId WHERE p.PostTypeId = 2 GROUP BY p.Score HAVING p.Score <= -1 AND p.Score >= -100 ORDER BY p.Score DESC | SELECT "p"."Score", COUNT(*) AS "downvoted_all_time", SUM(CASE WHEN DATEDIFF(DAY, CAST("p"."LastEditDate" AS DATETIME), CAST("day" AS DATETIME)) > 30 THEN 1 ELSE 0 END) AS "active_last_thirty_days", SUM(CASE WHEN DATEDIFF(DAY, CAST("p"."LastEditDate" AS DATETIME), CAST("day" AS DATETIME)) > 60 THEN 1 ELSE 0 END) AS "active_last_sixty_days", SUM(CASE WHEN DATEDIFF(DAY, CAST("p"."LastEditDate" AS DATETIME), CAST("day" AS DATETIME)) > 90 THEN 1 ELSE 0 END) AS "active_last_ninety_days", SUM(CASE WHEN DATEDIFF(DAY, CAST("p"."LastEditDate" AS DATETIME), CAST("day" AS DATETIME)) > 180 THEN 1 ELSE 0 END) AS "active_last_180_days", SUM(CASE WHEN DATEDIFF(DAY, CAST("p"."LastEditDate" AS DATETIME), CAST("year" AS DATETIME)) > 1 THEN 1 ELSE 0 END) AS "active_last_year" FROM "Posts" AS "p" LEFT JOIN "Votes" AS "v" ON "p"."Id" = "v"."PostId" WHERE "p"."PostTypeId" = 2 GROUP BY "p"."Score" HAVING "p"."Score" <= -1 AND "p"."Score" >= -100 ORDER BY "p"."Score" DESC NULLS LAST | 0.950195 |
CREATE TABLE table_70880 ("Title" TEXT, "Studio" TEXT, "Role" TEXT, "Leading lady" TEXT, "Director" TEXT)
| In which title was Ann Rutherford the leading lady for Joseph Kane? | SELECT "Title" FROM table_70880 WHERE "Leading lady" = 'ann rutherford' AND "Director" = 'joseph kane' | SELECT "Title" FROM "table_70880" WHERE "Director" = 'joseph kane' AND "Leading lady" = 'ann rutherford' | 0.101563 |
CREATE TABLE Customers (Customer_ID INT, Customer_Details VARCHAR)
CREATE TABLE Customer_Policies (Policy_ID INT, Customer_ID INT, Policy_Type_Code CHAR, Start_Date DATE, End_Date DATE)
CREATE TABLE Claims (Claim_ID INT, Policy_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT)
CREATE TABLE Payments (Payment_ID INT, Settlement_ID INT, Payment_Method_Code VARCHAR, Date_Payment_Made DATE, Amount_Payment INT)
CREATE TABLE Settlements (Settlement_ID INT, Claim_ID INT, Date_Claim_Made DATE, Date_Claim_Settled DATE, Amount_Claimed INT, Amount_Settled INT, Customer_Policy_ID INT)
| For those payments processed with Visa, bin the payment day into Year interval and compute the average amount payment as the Y-axis, sort y axis from high to low order. | SELECT Date_Payment_Made, AVG(Amount_Payment) FROM Payments WHERE Payment_Method_Code = 'Visa' ORDER BY AVG(Amount_Payment) DESC | SELECT "Date_Payment_Made", AVG("Amount_Payment") FROM "Payments" WHERE "Payment_Method_Code" = 'Visa' ORDER BY AVG("Amount_Payment") DESC NULLS LAST | 0.145508 |
CREATE TABLE table_8458 ("Pick #" FLOAT, "CFL Team" TEXT, "Player" TEXT, "Position" TEXT, "College" TEXT)
| Who is the player with a FB position? | SELECT "Player" FROM table_8458 WHERE "Position" = 'fb' | SELECT "Player" FROM "table_8458" WHERE "Position" = 'fb' | 0.055664 |
CREATE TABLE table_name_14 (winning_score VARCHAR, championship VARCHAR)
| What was the winning score in the PGA Championship? | SELECT winning_score FROM table_name_14 WHERE championship = "pga championship" | SELECT "winning_score" FROM "table_name_14" WHERE "championship" = "pga championship" | 0.083008 |
CREATE TABLE table_19880 ("Series Ep." TEXT, "Episode" FLOAT, "Netflix" TEXT, "Segment A" TEXT, "Segment B" TEXT, "Segment C" TEXT, "Segment D" TEXT)
| What is the series episode where Segment B is popcorn ? | SELECT "Series Ep." FROM table_19880 WHERE "Segment B" = 'Popcorn' | SELECT "Series Ep." FROM "table_19880" WHERE "Segment B" = 'Popcorn' | 0.066406 |
CREATE TABLE table_3447 ("Country" TEXT, "Population in 2011 ( In thousands ) " FLOAT, "GDP ( nominal ) in 2011 ( USD millions ) " FLOAT, "GDP ( nominal ) per capita" FLOAT, "GDP ( PPP ) in 2011 ( USD millions ) " FLOAT, "GDP ( PPP ) per capita" FLOAT, "Merchandise exports ( $ billions ) , 2011" TEXT, "Merchandise imports ( $ billions ) , 2011" TEXT, "Exports to Mercosur ( % of each , 2010 ) " TEXT, "Imports from Mercosur ( % of each , 2010 ) " TEXT)
| How many different imports from Mercosur had a % of 18.0? | SELECT COUNT("GDP (nominal) per capita") FROM table_3447 WHERE "Imports from Mercosur (% of each, 2010)" = '18.0' | SELECT COUNT("GDP (nominal) per capita") FROM "table_3447" WHERE "Imports from Mercosur (% of each, 2010)" = '18.0' | 0.112305 |
CREATE TABLE table_name_18 (points INT, artist VARCHAR)
| What's the sum of points for artist hari mata hari? | SELECT SUM(points) FROM table_name_18 WHERE artist = "hari mata hari" | SELECT SUM("points") FROM "table_name_18" WHERE "artist" = "hari mata hari" | 0.073242 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
| what is procedure short title and procedure long title of procedure icd9 code 9920? | SELECT procedures.short_title, procedures.long_title FROM procedures WHERE procedures.icd9_code = "9920" | SELECT "procedures"."short_title", "procedures"."long_title" FROM "procedures" WHERE "9920" = "procedures"."icd9_code" | 0.115234 |
CREATE TABLE perpetrator (Perpetrator_ID INT, People_ID INT, Date TEXT, Year FLOAT, Location TEXT, Country TEXT, Killed INT, Injured INT)
CREATE TABLE people (People_ID INT, Name TEXT, Height FLOAT, Weight FLOAT, "Home Town" TEXT)
| Bar chart x axis country y axis the total number | SELECT Country, COUNT(*) FROM perpetrator GROUP BY Country | SELECT "Country", COUNT(*) FROM "perpetrator" GROUP BY "Country" | 0.0625 |
CREATE TABLE table_train_48 ("id" INT, "in_another_study" BOOLEAN, "renal_disease" BOOLEAN, "receiving_vasopressor" BOOLEAN, "sepsis" BOOLEAN, "hypotension" BOOLEAN, "septic_shock" BOOLEAN, "age" FLOAT, "NOUSE" FLOAT)
| age >= 18 yr | SELECT * FROM table_train_48 WHERE age >= 18 | SELECT * FROM "table_train_48" WHERE "age" >= 18 | 0.046875 |
CREATE TABLE table_name_11 (hometown VARCHAR, player VARCHAR)
| Which hometown is the played Dajuan Wagner from? | SELECT hometown FROM table_name_11 WHERE player = "dajuan wagner" | SELECT "hometown" FROM "table_name_11" WHERE "dajuan wagner" = "player" | 0.069336 |
CREATE TABLE Affiliated_With (Physician INT, Department INT, PrimaryAffiliation BOOLEAN)
CREATE TABLE Block (BlockFloor INT, BlockCode INT)
CREATE TABLE Appointment (AppointmentID INT, Patient INT, PrepNurse INT, Physician INT, Start DATETIME, End DATETIME, ExaminationRoom TEXT)
CREATE TABLE Patient (SSN INT, Name VARCHAR, Address VARCHAR, Phone VARCHAR, InsuranceID INT, PCP INT)
CREATE TABLE Physician (EmployeeID INT, Name VARCHAR, Position VARCHAR, SSN INT)
CREATE TABLE Nurse (EmployeeID INT, Name VARCHAR, Position VARCHAR, Registered BOOLEAN, SSN INT)
CREATE TABLE Medication (Code INT, Name VARCHAR, Brand VARCHAR, Description VARCHAR)
CREATE TABLE On_Call (Nurse INT, BlockFloor INT, BlockCode INT, OnCallStart DATETIME, OnCallEnd DATETIME)
CREATE TABLE Room (RoomNumber INT, RoomType VARCHAR, BlockFloor INT, BlockCode INT, Unavailable BOOLEAN)
CREATE TABLE Trained_In (Physician INT, Treatment INT, CertificationDate DATETIME, CertificationExpires DATETIME)
CREATE TABLE Procedures (Code INT, Name VARCHAR, Cost FLOAT)
CREATE TABLE Prescribes (Physician INT, Patient INT, Medication INT, Date DATETIME, Appointment INT, Dose VARCHAR)
CREATE TABLE Stay (StayID INT, Patient INT, Room INT, StayStart DATETIME, StayEnd DATETIME)
CREATE TABLE Department (DepartmentID INT, Name VARCHAR, Head INT)
CREATE TABLE Undergoes (Patient INT, Procedures INT, Stay INT, DateUndergoes DATETIME, Physician INT, AssistingNurse INT)
| What are the number of names of patients who made an appointment?, and could you order by the y axis from low to high? | SELECT Name, COUNT(Name) FROM Appointment AS T1 JOIN Patient AS T2 ON T1.Patient = T2.SSN GROUP BY Name ORDER BY COUNT(Name) | SELECT "Name", COUNT("Name") FROM "Appointment" AS "T1" JOIN "Patient" AS "T2" ON "T1"."Patient" = "T2"."SSN" GROUP BY "Name" ORDER BY COUNT("Name") NULLS FIRST | 0.15625 |
CREATE TABLE table_name_16 (score VARCHAR)
| What score has 15.0% as the 2012? | SELECT score FROM table_name_16 WHERE 2012 = "15.0%" | SELECT "score" FROM "table_name_16" WHERE "15.0%" = 2012 | 0.054688 |
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide the number of patients whose days of hospital stay is greater than 5 and drug route is tp? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "5" AND prescriptions.route = "TP" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "prescriptions" ON "TP" = "prescriptions"."route" AND "demographic"."hadm_id" = "prescriptions"."hadm_id" WHERE "5" < "demographic"."days_stay" | 0.211914 |
CREATE TABLE table_name_7 (spokespersons VARCHAR, commentator VARCHAR, voting_order VARCHAR)
| During the voting order 11, when the commentator was pierre tchernia, who was the spokesperson? | SELECT spokespersons FROM table_name_7 WHERE commentator = "pierre tchernia" AND voting_order = 11 | SELECT "spokespersons" FROM "table_name_7" WHERE "commentator" = "pierre tchernia" AND "voting_order" = 11 | 0.103516 |
CREATE TABLE state (state_code TEXT, state_name TEXT, country_name TEXT)
CREATE TABLE airport_service (city_code VARCHAR, airport_code VARCHAR, miles_distant INT, direction VARCHAR, minutes_distant INT)
CREATE TABLE ground_service (city_code TEXT, airport_code TEXT, transport_type TEXT, ground_fare INT)
CREATE TABLE class_of_service (booking_class VARCHAR, rank INT, class_description TEXT)
CREATE TABLE month (month_number INT, month_name TEXT)
CREATE TABLE food_service (meal_code TEXT, meal_number INT, compartment TEXT, meal_description VARCHAR)
CREATE TABLE date_day (month_number INT, day_number INT, year INT, day_name VARCHAR)
CREATE TABLE flight (aircraft_code_sequence TEXT, airline_code VARCHAR, airline_flight TEXT, arrival_time INT, connections INT, departure_time INT, dual_carrier TEXT, flight_days TEXT, flight_id INT, flight_number INT, from_airport VARCHAR, meal_code TEXT, stops INT, time_elapsed INT, to_airport VARCHAR)
CREATE TABLE days (days_code VARCHAR, day_name VARCHAR)
CREATE TABLE restriction (restriction_code TEXT, advance_purchase INT, stopovers TEXT, saturday_stay_required TEXT, minimum_stay INT, maximum_stay INT, application TEXT, no_discounts TEXT)
CREATE TABLE time_interval (period TEXT, begin_time INT, end_time INT)
CREATE TABLE compartment_class (compartment VARCHAR, class_type VARCHAR)
CREATE TABLE airline (airline_code VARCHAR, airline_name TEXT, note TEXT)
CREATE TABLE time_zone (time_zone_code TEXT, time_zone_name TEXT, hours_from_gmt INT)
CREATE TABLE equipment_sequence (aircraft_code_sequence VARCHAR, aircraft_code VARCHAR)
CREATE TABLE aircraft (aircraft_code VARCHAR, aircraft_description VARCHAR, manufacturer VARCHAR, basic_type VARCHAR, engines INT, propulsion VARCHAR, wide_body VARCHAR, wing_span INT, length INT, weight INT, capacity INT, pay_load INT, cruising_speed INT, range_miles INT, pressurized VARCHAR)
CREATE TABLE flight_leg (flight_id INT, leg_number INT, leg_flight INT)
CREATE TABLE flight_stop (flight_id INT, stop_number INT, stop_days TEXT, stop_airport TEXT, arrival_time INT, arrival_airline TEXT, arrival_flight_number INT, departure_time INT, departure_airline TEXT, departure_flight_number INT, stop_time INT)
CREATE TABLE dual_carrier (main_airline VARCHAR, low_flight_number INT, high_flight_number INT, dual_airline VARCHAR, service_name TEXT)
CREATE TABLE fare_basis (fare_basis_code TEXT, booking_class TEXT, class_type TEXT, premium TEXT, economy TEXT, discounted TEXT, night TEXT, season TEXT, basis_days TEXT)
CREATE TABLE city (city_code VARCHAR, city_name VARCHAR, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR)
CREATE TABLE flight_fare (flight_id INT, fare_id INT)
CREATE TABLE code_description (code VARCHAR, description TEXT)
CREATE TABLE fare (fare_id INT, from_airport VARCHAR, to_airport VARCHAR, fare_basis_code TEXT, fare_airline TEXT, restriction_code TEXT, one_direction_cost INT, round_trip_cost INT, round_trip_required VARCHAR)
CREATE TABLE airport (airport_code VARCHAR, airport_name TEXT, airport_location TEXT, state_code VARCHAR, country_name VARCHAR, time_zone_code VARCHAR, minimum_connect_time INT)
| how many flights does each airline have with BUSINESS class service | SELECT DISTINCT COUNT(*), flight.airline_code FROM fare, fare_basis, flight, flight_fare WHERE fare_basis.class_type = 'BUSINESS' AND fare.fare_basis_code = fare_basis.fare_basis_code AND flight_fare.fare_id = fare.fare_id AND flight.flight_id = flight_fare.flight_id GROUP BY flight.airline_code | SELECT DISTINCT COUNT(*), "flight"."airline_code" FROM "fare" JOIN "fare_basis" ON "fare"."fare_basis_code" = "fare_basis"."fare_basis_code" AND "fare_basis"."class_type" = 'BUSINESS' JOIN "flight_fare" ON "fare"."fare_id" = "flight_fare"."fare_id" JOIN "flight" ON "flight"."flight_id" = "flight_fare"."flight_id" GROUP BY "flight"."airline_code" | 0.338867 |
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| when was the first time that patient 70645 was admitted to the hospital during the last year? | SELECT admissions.admittime FROM admissions WHERE admissions.subject_id = 70645 AND DATETIME(admissions.admittime, 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY admissions.admittime LIMIT 1 | SELECT "admissions"."admittime" FROM "admissions" WHERE "admissions"."subject_id" = 70645 AND DATETIME("admissions"."admittime", 'start of year') = DATETIME(CURRENT_TIME(), 'start of year', '-1 year') ORDER BY "admissions"."admittime" NULLS FIRST LIMIT 1 | 0.248047 |
CREATE TABLE table_name_34 (Id VARCHAR)
| What is the 2003 statistic for the product that had 514,000 tonnes in 2001? | SELECT 2003 FROM table_name_34 WHERE 2001 = "514,000 tonnes" | SELECT 2003 FROM "table_name_34" WHERE "514,000 tonnes" = 2001 | 0.060547 |
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| which patients have procedure icd9 code 12? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE procedures.icd9_code = "12" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "procedures" ON "12" = "procedures"."icd9_code" AND "demographic"."hadm_id" = "procedures"."hadm_id" | 0.169922 |
CREATE TABLE table_22904752_1 (_number VARCHAR, us_viewers__million_ VARCHAR)
| What is the # when u.s. viewers (million) is 17.44? | SELECT COUNT(_number) FROM table_22904752_1 WHERE us_viewers__million_ = "17.44" | SELECT COUNT("_number") FROM "table_22904752_1" WHERE "17.44" = "us_viewers__million_" | 0.083984 |
CREATE TABLE table_74972 ("Year" FLOAT, "Location" TEXT, "Gold" TEXT, "Silver" TEXT, "Bronze" TEXT)
| Which Bronze has a Year smaller than 1994, and a Silver of south korea? | SELECT "Bronze" FROM table_74972 WHERE "Year" < '1994' AND "Silver" = 'south korea' | SELECT "Bronze" FROM "table_74972" WHERE "Silver" = 'south korea' AND "Year" < '1994' | 0.083008 |
CREATE TABLE table_name_7 (sport VARCHAR, gold VARCHAR, silver VARCHAR)
| What sport has a Gold larger than 0, and a Silver of 2? | SELECT sport FROM table_name_7 WHERE gold > 0 AND silver = 2 | SELECT "sport" FROM "table_name_7" WHERE "gold" > 0 AND "silver" = 2 | 0.066406 |
CREATE TABLE table_203_611 (id DECIMAL, "player" TEXT, "hr" DECIMAL, "date reached 500 hr" TEXT, "team" TEXT, "seasons played" TEXT)
| which member of the 500 club has the least amount of home runs ? | SELECT "player" FROM table_203_611 ORDER BY "hr" LIMIT 1 | SELECT "player" FROM "table_203_611" ORDER BY "hr" NULLS FIRST LIMIT 1 | 0.068359 |
CREATE TABLE table_name_3 (club_province VARCHAR, caps VARCHAR, player VARCHAR)
| What is the club or province of Girvan Dempsey, who has 74 caps? | SELECT club_province FROM table_name_3 WHERE caps = 74 AND player = "girvan dempsey" | SELECT "club_province" FROM "table_name_3" WHERE "caps" = 74 AND "girvan dempsey" = "player" | 0.089844 |
CREATE TABLE table_77219 ("Rank" TEXT, "Name" TEXT, "Location" TEXT, "Length ( m ) " TEXT, "Length ( ft ) " TEXT)
| What is the rank of the arch with a length in meters of 75/55? | SELECT "Rank" FROM table_77219 WHERE "Length ( m )" = '75/55' | SELECT "Rank" FROM "table_77219" WHERE "Length ( m )" = '75/55' | 0.061523 |
CREATE TABLE table_44545 ("Tournament" TEXT, "1990" TEXT, "1991" TEXT, "1992" TEXT, "1993" TEXT, "1994" TEXT, "1995" TEXT, "1996" TEXT)
| What is 1993, when Tournament is 'Cincinnati'? | SELECT "1993" FROM table_44545 WHERE "Tournament" = 'cincinnati' | SELECT "1993" FROM "table_44545" WHERE "Tournament" = 'cincinnati' | 0.064453 |
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
| provide the number of patients whose marital status is married and item id is 50801? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.itemid = "50801" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "lab" ON "50801" = "lab"."itemid" AND "demographic"."hadm_id" = "lab"."hadm_id" WHERE "MARRIED" = "demographic"."marital_status" | 0.197266 |
CREATE TABLE Services (Service_ID INT, Service_Type_Code CHAR)
CREATE TABLE Events (Event_ID INT, Service_ID INT, Event_Details VARCHAR)
CREATE TABLE Participants (Participant_ID INT, Participant_Type_Code CHAR, Participant_Details VARCHAR)
CREATE TABLE Participants_in_Events (Event_ID INT, Participant_ID INT)
| Give me a bar chart to show the number of event details of events that have more than one participant, and show in descending by the x-axis. | SELECT Event_Details, COUNT(Event_Details) FROM Events AS T1 JOIN Participants_in_Events AS T2 ON T1.Event_ID = T2.Event_ID GROUP BY Event_Details ORDER BY Event_Details DESC | SELECT "Event_Details", COUNT("Event_Details") FROM "Events" AS "T1" JOIN "Participants_in_Events" AS "T2" ON "T1"."Event_ID" = "T2"."Event_ID" GROUP BY "Event_Details" ORDER BY "Event_Details" DESC NULLS LAST | 0.204102 |
CREATE TABLE Financial_Transactions (transaction_id INT, previous_transaction_id INT, account_id INT, card_id INT, transaction_type VARCHAR, transaction_date DATETIME, transaction_amount DOUBLE, transaction_comment VARCHAR, other_transaction_details VARCHAR)
CREATE TABLE Customers (customer_id INT, customer_first_name VARCHAR, customer_last_name VARCHAR, customer_address VARCHAR, customer_phone VARCHAR, customer_email VARCHAR, other_customer_details VARCHAR)
CREATE TABLE Accounts (account_id INT, customer_id INT, account_name VARCHAR, other_account_details VARCHAR)
CREATE TABLE Customers_Cards (card_id INT, customer_id INT, card_type_code VARCHAR, card_number VARCHAR, date_valid_from DATETIME, date_valid_to DATETIME, other_card_details VARCHAR)
| Show me a scatter plot of customer id and the total number for . | SELECT customer_id, COUNT(*) FROM Accounts GROUP BY customer_id | SELECT "customer_id", COUNT(*) FROM "Accounts" GROUP BY "customer_id" | 0.067383 |
CREATE TABLE table_59529 ("Perpetrator" TEXT, "Date" TEXT, "Year" FLOAT, "Location" TEXT, "Country" TEXT, "Killed" FLOAT, "Injured" TEXT)
| How many kills have 15 as the injured, with a year prior to 1987? | SELECT SUM("Killed") FROM table_59529 WHERE "Injured" = '15' AND "Year" < '1987' | SELECT SUM("Killed") FROM "table_59529" WHERE "Injured" = '15' AND "Year" < '1987' | 0.080078 |
CREATE TABLE table_2361911_2 (regular_season VARCHAR, playoffs VARCHAR)
| Name the regular season for final playoffs | SELECT regular_season FROM table_2361911_2 WHERE playoffs = "Final" | SELECT "regular_season" FROM "table_2361911_2" WHERE "Final" = "playoffs" | 0.071289 |
CREATE TABLE table_77465 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Attendance" FLOAT, "Record" TEXT, "Points" FLOAT)
| What is the Score of the Pittsburgh Home game on March 3 with 61 Points? | SELECT "Score" FROM table_77465 WHERE "Home" = 'pittsburgh' AND "Points" = '61' AND "Date" = 'march 3' | SELECT "Score" FROM "table_77465" WHERE "Date" = 'march 3' AND "Home" = 'pittsburgh' AND "Points" = '61' | 0.101563 |
CREATE TABLE table_44302 ("Week" FLOAT, "Date" TEXT, "Opponent" TEXT, "Result" TEXT, "Attendance" FLOAT)
| What was the highest attendance of games that resulted in L 23-20? | SELECT MAX("Attendance") FROM table_44302 WHERE "Result" = 'l 23-20' | SELECT MAX("Attendance") FROM "table_44302" WHERE "Result" = 'l 23-20' | 0.068359 |
CREATE TABLE PendingFlags (Id DECIMAL, FlagTypeId DECIMAL, PostId DECIMAL, CreationDate TIME, CloseReasonTypeId DECIMAL, CloseAsOffTopicReasonTypeId DECIMAL, DuplicateOfQuestionId DECIMAL, BelongsOnBaseHostAddress TEXT)
CREATE TABLE SuggestedEditVotes (Id DECIMAL, SuggestedEditId DECIMAL, UserId DECIMAL, VoteTypeId DECIMAL, CreationDate TIME, TargetUserId DECIMAL, TargetRepChange DECIMAL)
CREATE TABLE FlagTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Tags (Id DECIMAL, TagName TEXT, Count DECIMAL, ExcerptPostId DECIMAL, WikiPostId DECIMAL)
CREATE TABLE CloseAsOffTopicReasonTypes (Id DECIMAL, IsUniversal BOOLEAN, InputTitle TEXT, MarkdownInputGuidance TEXT, MarkdownPostOwnerGuidance TEXT, MarkdownPrivilegedUserGuidance TEXT, MarkdownConcensusDescription TEXT, CreationDate TIME, CreationModeratorId DECIMAL, ApprovalDate TIME, ApprovalModeratorId DECIMAL, DeactivationDate TIME, DeactivationModeratorId DECIMAL)
CREATE TABLE CloseReasonTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE ReviewTaskTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE Comments (Id DECIMAL, PostId DECIMAL, Score DECIMAL, Text TEXT, CreationDate TIME, UserDisplayName TEXT, UserId DECIMAL, ContentLicense TEXT)
CREATE TABLE ReviewRejectionReasons (Id DECIMAL, Name TEXT, Description TEXT, PostTypeId DECIMAL)
CREATE TABLE PostHistoryTypes (Id DECIMAL, Name TEXT)
CREATE TABLE VoteTypes (Id DECIMAL, Name TEXT)
CREATE TABLE ReviewTaskStates (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostFeedback (Id DECIMAL, PostId DECIMAL, IsAnonymous BOOLEAN, VoteTypeId DECIMAL, CreationDate TIME)
CREATE TABLE TagSynonyms (Id DECIMAL, SourceTagName TEXT, TargetTagName TEXT, CreationDate TIME, OwnerUserId DECIMAL, AutoRenameCount DECIMAL, LastAutoRename TIME, Score DECIMAL, ApprovedByUserId DECIMAL, ApprovalDate TIME)
CREATE TABLE Users (Id DECIMAL, Reputation DECIMAL, CreationDate TIME, DisplayName TEXT, LastAccessDate TIME, WebsiteUrl TEXT, Location TEXT, AboutMe TEXT, Views DECIMAL, UpVotes DECIMAL, DownVotes DECIMAL, ProfileImageUrl TEXT, EmailHash TEXT, AccountId DECIMAL)
CREATE TABLE ReviewTaskResults (Id DECIMAL, ReviewTaskId DECIMAL, ReviewTaskResultTypeId DECIMAL, CreationDate TIME, RejectionReasonId DECIMAL, Comment TEXT)
CREATE TABLE Badges (Id DECIMAL, UserId DECIMAL, Name TEXT, Date TIME, Class DECIMAL, TagBased BOOLEAN)
CREATE TABLE PostTags (PostId DECIMAL, TagId DECIMAL)
CREATE TABLE PostsWithDeleted (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE Posts (Id DECIMAL, PostTypeId DECIMAL, AcceptedAnswerId DECIMAL, ParentId DECIMAL, CreationDate TIME, DeletionDate TIME, Score DECIMAL, ViewCount DECIMAL, Body TEXT, OwnerUserId DECIMAL, OwnerDisplayName TEXT, LastEditorUserId DECIMAL, LastEditorDisplayName TEXT, LastEditDate TIME, LastActivityDate TIME, Title TEXT, Tags TEXT, AnswerCount DECIMAL, CommentCount DECIMAL, FavoriteCount DECIMAL, ClosedDate TIME, CommunityOwnedDate TIME, ContentLicense TEXT)
CREATE TABLE SuggestedEdits (Id DECIMAL, PostId DECIMAL, CreationDate TIME, ApprovalDate TIME, RejectionDate TIME, OwnerUserId DECIMAL, Comment TEXT, Text TEXT, Title TEXT, Tags TEXT, RevisionGUID other)
CREATE TABLE PostHistory (Id DECIMAL, PostHistoryTypeId DECIMAL, PostId DECIMAL, RevisionGUID other, CreationDate TIME, UserId DECIMAL, UserDisplayName TEXT, Comment TEXT, Text TEXT, ContentLicense TEXT)
CREATE TABLE ReviewTasks (Id DECIMAL, ReviewTaskTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ReviewTaskStateId DECIMAL, PostId DECIMAL, SuggestedEditId DECIMAL, CompletedByReviewTaskId DECIMAL)
CREATE TABLE ReviewTaskResultTypes (Id DECIMAL, Name TEXT, Description TEXT)
CREATE TABLE PostNotices (Id DECIMAL, PostId DECIMAL, PostNoticeTypeId DECIMAL, CreationDate TIME, DeletionDate TIME, ExpiryDate TIME, Body TEXT, OwnerUserId DECIMAL, DeletionUserId DECIMAL)
CREATE TABLE Votes (Id DECIMAL, PostId DECIMAL, VoteTypeId DECIMAL, UserId DECIMAL, CreationDate TIME, BountyAmount DECIMAL)
CREATE TABLE PostTypes (Id DECIMAL, Name TEXT)
CREATE TABLE PostLinks (Id DECIMAL, CreationDate TIME, PostId DECIMAL, RelatedPostId DECIMAL, LinkTypeId DECIMAL)
CREATE TABLE PostNoticeTypes (Id DECIMAL, ClassId DECIMAL, Name TEXT, Body TEXT, IsHidden BOOLEAN, Predefined BOOLEAN, PostNoticeDurationId DECIMAL)
| All the views (log scaled). http://meta.stackexchange.com/questions/244534/were-working-on-a-new-stat-to-help-convey-the-reach-of-your-posts-here | WITH question_score AS (SELECT CAST(ViewCount AS INT) AS ask_views, OwnerUserId AS UserId, Id AS PostId FROM Posts WHERE PostTypeId = 1 AND AnswerCount > 0 AND Score > 0 GROUP BY OwnerUserId, Id, ViewCount), answer_score AS (SELECT CAST(q.ViewCount AS INT) AS answer_views, a.OwnerUserId AS UserId, a.Id AS PostId FROM Posts AS q JOIN Posts AS a ON (q.Id = a.ParentId) WHERE a.Score > 0 GROUP BY a.OwnerUserId, a.Id, q.ViewCount) SELECT p.Id AS "post_link", SUM(ask_views), SUM(answer_views) FROM question_score AS q FULL OUTER JOIN Posts AS p ON (q.PostId = p.Id) FULL OUTER JOIN answer_score AS a ON (p.Id = a.PostId) WHERE OwnerUserId = '##UserId?1##' GROUP BY p.Id, ask_views, answer_views | WITH "question_score" AS (SELECT "Id" AS "PostId" FROM "Posts" WHERE "AnswerCount" > 0 AND "PostTypeId" = 1 AND "Score" > 0 GROUP BY "OwnerUserId", "Id", "ViewCount"), "answer_score" AS (SELECT "a"."Id" AS "PostId" FROM "Posts" AS "q" JOIN "Posts" AS "a" ON "a"."ParentId" = "q"."Id" AND "a"."Score" > 0 GROUP BY "a"."OwnerUserId", "a"."Id", "q"."ViewCount") SELECT "p"."Id" AS "post_link", SUM("ask_views"), SUM("answer_views") FROM "question_score" AS "q" FULL JOIN "Posts" AS "p" ON "p"."Id" = "q"."PostId" FULL JOIN "answer_score" AS "a" ON "a"."PostId" = "p"."Id" WHERE "OwnerUserId" = '##UserId?1##' GROUP BY "p"."Id", "ask_views", "answer_views" | 0.636719 |
CREATE TABLE table_1342249_35 (incumbent VARCHAR, district VARCHAR)
| What is the incumbent for ohio 12? | SELECT incumbent FROM table_1342249_35 WHERE district = "Ohio 12" | SELECT "incumbent" FROM "table_1342249_35" WHERE "Ohio 12" = "district" | 0.069336 |
CREATE TABLE admissions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, admittime TIME, dischtime TIME, admission_type TEXT, admission_location TEXT, discharge_location TEXT, insurance TEXT, language TEXT, marital_status TEXT, ethnicity TEXT, age DECIMAL)
CREATE TABLE d_icd_diagnoses (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE d_items (row_id DECIMAL, itemid DECIMAL, label TEXT, linksto TEXT)
CREATE TABLE patients (row_id DECIMAL, subject_id DECIMAL, gender TEXT, dob TIME, dod TIME)
CREATE TABLE prescriptions (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, startdate TIME, enddate TIME, drug TEXT, dose_val_rx TEXT, dose_unit_rx TEXT, route TEXT)
CREATE TABLE transfers (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, eventtype TEXT, careunit TEXT, wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE d_icd_procedures (row_id DECIMAL, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE outputevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, value DECIMAL)
CREATE TABLE inputevents_cv (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, charttime TIME, itemid DECIMAL, amount DECIMAL)
CREATE TABLE diagnoses_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE icustays (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, first_careunit TEXT, last_careunit TEXT, first_wardid DECIMAL, last_wardid DECIMAL, intime TIME, outtime TIME)
CREATE TABLE chartevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icustay_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE labevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, itemid DECIMAL, charttime TIME, valuenum DECIMAL, valueuom TEXT)
CREATE TABLE procedures_icd (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, icd9_code TEXT, charttime TIME)
CREATE TABLE microbiologyevents (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, charttime TIME, spec_type_desc TEXT, org_name TEXT)
CREATE TABLE cost (row_id DECIMAL, subject_id DECIMAL, hadm_id DECIMAL, event_type TEXT, event_id DECIMAL, chargetime TIME, cost DECIMAL)
CREATE TABLE d_labitems (row_id DECIMAL, itemid DECIMAL, label TEXT)
| when was the last time that patient 19473 had a heart rate that was less than 66.0? | SELECT chartevents.charttime FROM chartevents WHERE chartevents.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 19473)) AND chartevents.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = 'heart rate' AND d_items.linksto = 'chartevents') AND chartevents.valuenum < 66.0 ORDER BY chartevents.charttime DESC LIMIT 1 | WITH "_u_0" AS (SELECT "admissions"."hadm_id" FROM "admissions" WHERE "admissions"."subject_id" = 19473 GROUP BY "hadm_id"), "_u_1" AS (SELECT "icustays"."icustay_id" FROM "icustays" LEFT JOIN "_u_0" AS "_u_0" ON "_u_0"."" = "icustays"."hadm_id" WHERE NOT "_u_0"."" IS NULL GROUP BY "icustay_id"), "_u_2" AS (SELECT "d_items"."itemid" FROM "d_items" WHERE "d_items"."label" = 'heart rate' AND "d_items"."linksto" = 'chartevents' GROUP BY "itemid") SELECT "chartevents"."charttime" FROM "chartevents" LEFT JOIN "_u_1" AS "_u_1" ON "_u_1"."" = "chartevents"."icustay_id" LEFT JOIN "_u_2" AS "_u_2" ON "_u_2"."" = "chartevents"."itemid" WHERE "chartevents"."valuenum" < 66.0 AND NOT "_u_1"."" IS NULL AND NOT "_u_2"."" IS NULL ORDER BY "chartevents"."charttime" DESC NULLS LAST LIMIT 1 | 0.763672 |
CREATE TABLE table_49318 ("Date" TEXT, "Visitor" TEXT, "Score" TEXT, "Home" TEXT, "Attendance" FLOAT, "Record" TEXT, "Points" FLOAT)
| Which Date has a Record of 7 7 1? | SELECT "Date" FROM table_49318 WHERE "Record" = '7–7–1' | SELECT "Date" FROM "table_49318" WHERE "Record" = '7–7–1' | 0.055664 |
CREATE TABLE table_1570003_2 (open_cup VARCHAR, year VARCHAR)
| During 2003 what was open cup qualifying status? | SELECT open_cup FROM table_1570003_2 WHERE year = 2003 | SELECT "open_cup" FROM "table_1570003_2" WHERE "year" = 2003 | 0.058594 |
CREATE TABLE demographic (subject_id TEXT, hadm_id TEXT, name TEXT, marital_status TEXT, age TEXT, dob TEXT, gender TEXT, language TEXT, religion TEXT, admission_type TEXT, days_stay TEXT, insurance TEXT, ethnicity TEXT, expire_flag TEXT, admission_location TEXT, discharge_location TEXT, diagnosis TEXT, dod TEXT, dob_year TEXT, dod_year TEXT, admittime TEXT, dischtime TEXT, admityear TEXT)
CREATE TABLE diagnoses (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE procedures (subject_id TEXT, hadm_id TEXT, icd9_code TEXT, short_title TEXT, long_title TEXT)
CREATE TABLE lab (subject_id TEXT, hadm_id TEXT, itemid TEXT, charttime TEXT, flag TEXT, value_unit TEXT, label TEXT, fluid TEXT)
CREATE TABLE prescriptions (subject_id TEXT, hadm_id TEXT, icustay_id TEXT, drug_type TEXT, drug TEXT, formulary_drug_cd TEXT, route TEXT, drug_dose TEXT)
| provide the number of patients whose admission type is emergency and diagnoses long title is chronic pulmonary heart disease, unspecified? | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Chronic pulmonary heart disease, unspecified" | SELECT COUNT(DISTINCT "demographic"."subject_id") FROM "demographic" JOIN "diagnoses" ON "Chronic pulmonary heart disease, unspecified" = "diagnoses"."long_title" AND "demographic"."hadm_id" = "diagnoses"."hadm_id" WHERE "EMERGENCY" = "demographic"."admission_type" | 0.258789 |
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